Machine Learning Strategy for Fault Classification Using Only Nominal Data Session Chair: Aitor Arnaiz–IK4-Tekniker, SpainĬondition Monitoring of Bearing Damage in Electromechanical Drive Systems by Using Motor Current Signals of Electric Motors: A Benchmark Data Set for Data-Driven ClassificationĬhristian Lessmeier 1, James Kuria Kimotho 2, Detmar Zimmer 3, Walter Sextro 4–ġ,2,3,4 Paderborn University, Pohlweg 47 – 49, 33098 Paderborn, Germany Session 1C: Condition & Health Monitoring in PHM - I Omer Panni 1, Graeme West 2, Victoria Catterson 3, Stephen McArthur 4, Dongfeng Shi 5, Ieuan Mogridge 6–ġ,2,3,4 University of Strathclyde, Glasgow, G1 1XW, United Kingdomĥ Rolls-Royce Control and Data Services Ltd, Derby, DE24 8BJ, United KingdomĦ EDF Energy, Gloucester, GL4 3RS, United Kingdom Implementation Of A Bayesian Linear Regression Framework For Nuclear Prognostics Marco Rigamonti 1, Piero Baraldi 2, Enrico Zio 3, Indranil Roychoudhury 4, Kai Goebel 5, Scott Poll 6–ġ,2,3 Energy Department, Politecnico di Milano, Via Ponzio 34/3, Milan, 20133, ItalyĤ Stinger Ghaffarian Technologies, Inc., NASA Ames Research Center, Moffett Field, California 94035ĥ,6 NASA Ames Research Center, Moffett Field, California 94035 Dept., Embraer SA, Sao Jose dos Campos, BrazilĤ National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japanĥ Instituto Tecnologico de Aeronautica (ITA), 12228-900, So Jose dos Campos-SP, BrazilĮcho State Network for the Remaining Useful Life Prediction of a Turbofan Engine Nascimiento 5, Elsa Henriques 6–ġ,6 Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, 1049-001, PortugalĢ,3 Technol. Session Chair: Emmanuel Ramasso–FEMTO-ST institute, FranceĪ Comparison of Data-driven Techniques for Engine Bleed Valve Prognostics using Aircraft-derived Fault Messages Session 1B: Data-driven & Model-based Approaches for Prognostics - I Rachael Henderson 1, Ghulam Hussain 2, Jacek Stecki 3–ġ,2 The University of Melbourne, Parkville - 3010, VIC, Australiaģ Chief Technology Officer, PHM Technology P/L Model Based Approach to Zonal Safety Analysis Mikel Armendia 1, Flavien Peysson 2, Dirk Euhus 3–ġ IK4-TEKNIKER, Eibar, Basque Country, 20600, Spain Twin-Control: A New Concept Towards Machine Tool Health Management Thorben Kaul 1, Tobias Meyer 2, Walter Sextro 3–ġ,2,3 University of Paderborn, Faculty of Mechanical Engineering, Mechatronics and Dynamics, 33098 Paderborn, Germany Modeling of Complex Redundancy in Technical Systems with Bayesian Networks Session Chair: Manuel Esperon–Cranfield University, UK Gueorgui Mihaylov, Polytechnic University of Turin, Italy Tutorial: Multivariate Post-processing of Big Data in Prognostics and Health Management: Theory and Use Cases - Dr. Tutorial: Introduction to Integrated Vehicle Health Monitoring - Prof. Piero Baraldi, Politecnico di Milano, Italy Tutorial: Ensembles of Models for Prognostics and Health Management - Prof. Thursday, JTechnical Paper Sessions, Panel Sessions, Poster Session, Plenary Conferences, Banquet Dinnerįriday, JTechnical Paper Sessions, Panel Sessions, Closing Remarks Wednesday, JOpening Remarks, Tutorials, Technical Paper Sessions, Symposium Lunch, Panel Sessions and Welcoming Reception Tuesday, JStudents Welcome, Registration and Welcoming Reception Īlso, the links to the papers will become accessible from the day of the conference. Agenda - Overview Note: Please scroll down below for detailed information on session topics and presentation schedule.
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